Data warehouses are databases of a specific kind that periodically collect information about
the activities being performed by an organization. This information is then accumulated over …

In this paper we address the problem of integrating independent and possibly
heterogeneous data warehouses, a problem that has received little attention so far, but that …

That requirements engineering is part of the systems development life cycle and is about the
first activity to be carried out when building systems is today considered as basic knowledge …

Agile data warehouse development using Scrum does incremental project delivery by
delivering data marts from an initial backlog of user stories. However, story writing is largely …

This paper describes the design and implementation of a prototype to extract, collect and
visually analyse cultural digital resources using social network analysis empowered with …

Spatial OLAP (SOLAP) integrates spatial data into OLAP and Data warehouse systems to
exploit the analysis capabilities associated with geographic information. SOLAP extends …

There are two design methodologies to maintain the single version of the truth in Data
Warehouses. Inmon's approach builds a consolidated enterprise DW represented as an ER …

DEFINITION The term refers to the ability of combining the content of two or more
heterogeneous data warehouses, for the purpose of cross-analysis. This need emerges in a …

The growing need for huge volume of data in enterprise and corporate environment, fuel the
demand of data warehousing. Data warehousing collects the data at different levels (ie …

Since data warehouse projects are large and complex, this chapter proposes an agile
technique for data warehouse development. The notion of a data warehouse user story is …